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People's Web meets NLP 2012 : ACL 2012 3rd Workshop 'The People's Web meets NLP: Collaboratively Constructed Semantic Resources and their Applications to NLP'


When Jul 12, 2012 - Jul 13, 2012
Where Jeju, Republic of Korea
Submission Deadline Mar 18, 2012
Notification Due Apr 16, 2012
Final Version Due Apr 30, 2012
Categories    NLP   natural language processing   linguistics   computational linguistics

Call For Papers

ACL 2012 Third Workshop

The People's Web meets NLP:
Collaboratively Constructed Semantic Resources and their Applications to NLP

Jeju, Republic of Korea
July 12-13, 2012


Recent recognition of Collaboratively Constructed Semantic Resources (CSRs) such
as Wikipedia [1], Wiktionary [2], Linked Open Data [3], and other resources
developed using crowdsourcing such as Games with a Purpose [4] and Mechanical
Turk [5] has substantially contributed to the research in natural language
processing (NLP).

Researchers started to use such resources to substitute for or supplement
conventional lexical semantic resources such as WordNet or linguistically
annotated corpora in different NLP tasks. Another research direction is to
utilize NLP techniques to enhance the collaboration process and its outcome.
This improves the overall quality of the CSRs [6,7]. Overall, the emergence of
CSRs has generated new challenges to the research field that are to be addressed
in the proposed workshop.

The preceding "The People's Web meets NLP" workshops at ACL-IJCNLP 2009 and
COLING 2010 have successfully gathered researchers from different areas, and
enabled an interdisciplinary exchange of research outcomes and ideas. Such
collaboration has contributed to the creation of valuable semantic resources and
tools based on CSRs, such as word sense alignments between WordNet, Wikipedia,
and Wiktionary [8,9,10], folksonomy and named entity ontologies [11,12],
multiword terms [13], ontological resources [14,15], annotated corpora [16], and
Wikipedia and Wiktionary APIs.

The obvious next step in this area is to intensify research that demonstrates
the effectiveness of the resources mined from CSRs as listed above in a variety
of NLP tasks. This is why the 3rd workshop "The People's Web meets NLP" will
especially welcome submissions that utilize resources and tools for CSRs. We
invite both long and short papers and especially encourage to show the benefit
of CSRs in diverse NLP tasks, for example word sense disambiguation [17] and
semantic role labeling [18], in addition to further exploration of various
aspects of CSRs. We also welcome tutorial-like submissions on using the software
for CSRs to facilitate their wide adoption by the NLP community.

[ 1] Olena Medelyan, David Milne, Catherine Legg and Ian H. Witten. Mining
meaning from Wikipedia. In: International Journal of Human-Computer
Studies. 67(9), 2009.
[ 2] Torsten Zesch, Christof Müller and Iryna Gurevych. Extracting Lexical
Semantic Knowledge from Wikipedia and Wiktionary. In: Proceedings of the
Conference on Language Resources and Evaluation, 2008.
[ 3] Yuan Ni, Lei Zhang, Zhaoming Qiu, and Chen Wang. Enhancing the open-domain
classification of named entity using linked open data. In: Proceedings of
the 9th international semantic web conference (ISWC'10), 566-581, 2010.
[ 4] Luis von Ahn and Laura Dabbish. General Techniques for Designing Games with
a Purpose. Communications of the ACM, 2008.
[ 5] Rion Snow, Brendan O'Connor, Daniel Jurafsky and Andrew Y. Ng. Cheap and
Fast---But is it Good? Evaluating Non-Expert Annotations for Natural
Language Tasks. Proceedings of EMNLP. 2008.
[ 6] Rada Mihalcea and Andras Csomai. Wikify!: Linking Documents to Encyclopedic
Knowledge. In: Proceedings of the Sixteenth ACM Conference on Information
and Knowledge Management, CIKM 2007.
[ 7] Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael
Hoffmann, Kayur Patel and Michael Skinner. Intelligence in Wikipedia. In:
Proceedings of the Twenty-Third Conference on Artificial Intelligence
(AAAI-08), 2008.
[ 8] Elisabeth Niemann and Iryna Gurevych. The People's Web meets Linguistic
Knowledge: Automatic Sense Alignment of Wikipedia and WordNet. In:
Proceedings of the International Conference on Computational Semantics
(IWCS), pp. 205-214, 2011.
[ 9] Christian M. Meyer and Iryna Gurevych. What Psycholinguists Know About
Chemistry: Aligning Wiktionary and WordNet for Increased Domain Coverage.
In: Proceedings of the 5th International Joint Conference on Natural
Language Processing (IJCNLP), 2011.
[10] Roberto Navigli and Simone Paolo Ponzetto. BabelNet: Building a very large
multilingual semantic network. In: Proceedings of the 48th Annual Meeting
of the Association for Computational Linguistics (ACL), 2010.
[11] Noriko Tomuro and Andriy Shepitsen. Construction of Disambiguated
Folksonomy Ontologies Using Wikipedia. In: Proceedings of the 2009 Workshop
on The People's Web Meets NLP: Collaboratively Constructed Semantic
Resources, 2009.
[12] Yumi Shibaki, Masaaki Nagata and Kazuhide Yamamoto. Constructing
Large-Scale Person Ontology from Wikipedia. In: Proceedings of the 2nd
Workshop on The People's Web Meets NLP: Collaboratively Constructed
Semantic Resources, 2010.
[13] Silvana Hartmann, Gyuri Szarvas and Iryna Gurevych. Mining Multiword Terms
from Wikipedia. In M.T. Pazienza & A. Stellato (Eds.): Semi-Automatic
Ontology Development: Processes and Resources, 2011.
[14] Christian M. Meyer and Iryna Gurevych. OntoWiktionary — Constructing an
Ontology from the Collaborative Online DictionaryWiktionary. In M. T.
Pazienza and A. Stellato (Eds.): Semi-Automatic Ontology Development:
Processes and Resources, 2011.
[15] Vivi Nastase, Michael Strube, Benjamin Börschinger, Cäcilia Zirn, and Anas
Elghafari. WikiNet: A very large scale multi-lingual concept network. In:
Proceedings of the 7th International Conference on Language Resources and
Evaluation (LREC), 2010.
[16] Jon Chamberlain, Udo Kruschwitz and Massimo Poesio. Constructing an
Anaphorically Annotated Corpus with Non-Experts: Assessing the Quality of
Collaborative Annotations. In: Proceedings of the 2009 Workshop on The
People's Web Meets NLP: Collaboratively Constructed Semantic Resources,
[17] Simone Paolo Ponzetto and Roberto Navigli. Knowledge-rich Word Sense
Disambiguation rivaling supervised systems. In: Proceedings of the 48th
Annual Meeting of the Association for Computational Linguistics (ACL),
[18] Ana-Maria Giuglea and Alessandro Moschitti. Semantic role labeling via
FrameNet, VerbNet and PropBank. In: Proceedings of the 21st International
Conference on Computational Linguistics and the 44th annual meeting of the
Association for Computational Linguistics (ACL), 2006.


Specific topics include but are not limited to:

* Using collaboratively constructed resources and the information mined from
them for NLP tasks (cf. Section "References"), such as word sense
disambiguation, semantic role labeling, information retrieval, text
categorization, information extraction, question answering, etc.;
* Mining social and collaborative content for constructing structured lexical
semantic resources, annotated corpora and the corresponding tools;
* Analyzing the structure of collaboratively constructed resources related to
their use in NLP;
* Computational linguistics studies of collaboratively constructed resources,
such as wiki-based platforms or folksonomies;
* Structural and semantic interoperability of collaboratively constructed
resources with conventional semantic resources and between themselves;
* Mining multilingual information from collaboratively constructed resources;
* Using special features of collaboratively constructed resources to create
novel resource types, for example revision-based corpora, simplified versions
of resources, etc.;
* Quality and reliability of collaboratively constructed lexical semantic
resources and annotated corpora;
* Hands-on practical knowledge on utilization of CSR APIs and tools or designing
crowdsourcing procedures for high quality outcomes.

Though the workshop welcomes any CSRs-related topics, preference will be given
to submissions on CSRs' application to NLP tasks, which is the special interest
of this workshop edition. Thereby, we encourage the participation of researchers
with various backgrounds: from computational linguistics (e.g. parsing and
discourse analysis) to NLP applications and other areas that might benefit from
collaboratively constructed semantic resources. Given that we receive a
sufficient number of tutorial-like submissions, a dedicated presentation session
for those will be scheduled.

Extended versions of the papers may be submitted in parallel for publication in
an edited volume "The People's Web Meets NLP: Collaboratively Constructed
Language Resources." The book will be published in fall - winter 2012 as part
of the Springer book series: "Theory and Applications of Natural Language
Processing", E. Hovy, M. Johnson and G. Hirst (eds.). Please refer to the open
call for contributions shown below:

===Submission Information===

The following is to be confirmed

Full paper submissions should follow the two-column format of ACL 2012
proceedings without exceeding eight (8) pages of content plus one extra page for
references. Short paper submissions should also follow the two-column format of
ACL 2012 proceedings, and should not exceed four (4) pages, including
references. We strongly recommend the use of ACL LaTeX style files or Microsoft

Word Style files tailored for this year's conference, which are available on
the conference website ( All submissions
must conform to the official ACL 2012 style guidelines announced in the
conference website and they must be electronic in PDF.

As the reviewing will be blind, the paper must not include the authors' names
and affiliations. Furthermore, self-references that reveal the author's
identity, e.g., "We previously showed (Smith, 1991) ...", must be avoided.
Instead, use citations such as "Smith previously showed (Smith, 1991) ...".
Papers that do not conform to these requirements will be rejected without

Submission will be electronic using submission software
( All accepted papers will be
presented orally and published in the workshop proceedings.

===Important dates===

March 18, 2012 Paper submission deadline (full and short)
April 16, 2012 Notification of acceptance
April 30, 2012 Camera-ready version due
July 12-13, 2012 ACL 2012 Workshops

The exact date for the workshop "The People's Web meets NLP: Collaboratively
Constructed Semantic Resources and their Applications to NLP" is yet to be


Iryna Gurevych Ubiquitous Knowledge Processing Lab, TU Darmstadt
Nicoletta Calzolari Zamorani Istituto di Linguistica Computazionale, CNR
Jungi Kim Ubiquitous Knowledge Processing Lab, TU Darmstadt

===Program Committee===

Andras Csomai Google Inc.
Andreas Hotho Julius-Maximilians-Universität Würzburg
Anette Frank Heidelberg University
Benno Stein Bauhaus University Weimar
Christian Meyer Technische Universität Darmstadt
David Milne University of Waikato
Delphine Bernhard University of Strasbourg
Diana McCarthy Lexical Computing Ltd, UK
Donald Metzler Information Sciences Institute, University of Southern
Emily Pitler University of Pennsylvania
Ernesto William De Luca Technische Universität Berlin
Florian Laws University of Stuttgart
Gerard de Melo UC Berkeley
German Rigau University of the Basque Country
Graeme Hirst University of Toronto
Günter Neumann DFKI Saarbrücken
Ido Dagan Bar Ilan University
John McCrae University of Bielefeld
Jong-Hyeok Lee Pohang University of Science and Technology
Judith Eckle-Kohler Technische Universität Darmstadt
Key-Sun Choi Korea Advanced Institute of Science and Technology
Magnus Sahlgren Swedish Institute of Computer Science
Manfred Stede Universität Potsdam
Massimo Poesio University of Essex
Omar Alonso Microsoft Bing
Paul Buitelaar DERI, National University of Ireland, Galway
Rene Witte Concordia University Montréal
Roxana Girju University of Illinois at Urbana-Champaign
Saif Mohammad National Research Council Canada
Shuming Shi Microsoft Research
Sören Auer Leipzig University
Tat-Seng Chua National University of Singapore
Tonio Wandmacher SYSTRAN, Paris, France
Zornitsa Kozareva Information Sciences Institute, University of Southern

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